Our event sensing model requires binning events into frames. The ideal binning strategy would be “one frame per event”. However, this binning strategy is unnecessarily expensive. For example, the events between two consecutive frames (22 FPS in [1]}) may vary from thousands to tens of thousands, resulting in computational challenges and redundancy. However, events happening at different locations but at very close timestamps can be processed in the same event frame. Therefore, we design and compare two binning strategies:
